Correlation between mortality due to COVID-19, wealth index, human development and population density in districts of Metropolitan Lima during 2020
Correlación entre mortalidad por COVID-19, índices de riqueza y desarrollo humano y densidad poblacional en distritos de Lima Metropolitana durante el 2020
OBJECTIVE: To determine the correlation between mortality due to COVID-19 and incidence of poverty and district human development index (HDI) in the department of Lima. METHODOLOGY: An observational, ecological, correlational study. The population were patients who died from COVID-19 in Lima Metropolitana. We included all patients reported dead in the open data base of the Ministerio de Salud. The dependent variable was mortality due to COVID-19, calculated by dividing the number of deaths by the total district population, and the independent variables were the incidence of poverty and HDI. We carried out a secondary analysis evaluating the fatality by COVID-19. The correlation was calculated through Spearman’s non-parametric method. RESULTS: 13 154 people died of COVID-19 during the period between March and September, the majority was of masculine gender with an average age of 66 years. We did not find a significant correlation between mortality and incidence of poverty (rho=-0,2230; p=0,15). We found a significant correlation between mortality due to COVID-19 and HDI (rho= 0,4466; p=0,002). Mortality was correlated with population density (rho=0,7616; p=<0,001). We found a positive (rho=0,32) and significant (p=0,037) correlation between fatality and incidence of poverty. We found a significant correlation between fatality due to COVID-19 and population density (rho=0,7616; p=<0,001). We did not find a significant correlation between fatality and HDI. CONCLUSIONS: Population density was a factor associated in the most consistent manner with mortality and fatality due to COVID. Poverty was associated to greater fatality, but not to greater mortality.
Copyright (c) 2021 Revista de la Facultad de Medicina Humana
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is under a Creative Commons license Attribution 4.0 International (CC BY 4.0).